Quantum Tiger Researchers Win at SCMIM 2025, Published by Springer Nature

Today, we are proud to congratulate our technical staff members, Chirag Nahata and Snigdha Ghosh, whose research paper on Explainable AI and fog prediction has now been officially published by Springer Nature after nearly 1.5 years of sustained work and review.

At Quantum Tiger, we believe meaningful innovation is never built overnight. It is built through persistence, experimentation, research discipline, and the courage to stay committed long after the excitement fades.

The paper was developed under the guidance of our Scientific Board Member, Dr. Sitanath Biswas, alongside contributions from fellow researchers and collaborators who played an important role in this academic journey.

The research also received recognition at #SCMIM 2025 (organized by MCKV Institute of Engineering, West Bengal, India, in collaboration with Yuan-Ze University and IEM), where it secured the Best Paper Award in its category.

In an era where AI systems are becoming increasingly powerful yet increasingly opaque, Explainable AI is emerging as one of the defining technological challenges of this decade. Research that combines environmental intelligence, predictive systems, and interpretable AI models is no longer academic curiosity; it is foundational infrastructure for the future of autonomous systems, climate intelligence, aviation safety, agriculture, defense analytics, and smart cities.

What makes us especially proud is that this work represents the kind of ecosystem India must continue to build, one in which industry, academia, and research communities collaborate not merely to consume technology but to create it.
Congratulations once again to Chirag, Snighdha, Dr. Biswas, and all contributing authors and researchers behind this achievement.

Research matters.
Deep work matters.
And patient innovation always compounds

🔗 Paper Link: https://lnkd.in/g4ARXJic